Top-down machine learning-based architecture for cyberattacks identification and classification in IoT communication networks

Q Abu Al-Haija - Frontiers in big Data, 2022 - frontiersin.org
With the prompt revolution and emergence of smart, self-reliant, and low-power devices,
Internet of Things (IoT) has inconceivably expanded and impacted almost every real-life …

An efficient deep-learning-based detection and classification system for cyber-attacks in IoT communication networks

Q Abu Al-Haija, S Zein-Sabatto - Electronics, 2020 - mdpi.com
With the rapid expansion of intelligent resource-constrained devices and high-speed
communication technologies, the Internet of Things (IoT) has earned wide recognition as the …

A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey

A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

Intrusion detection based on machine learning in the internet of things, attacks and counter measures

E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …

WILS-TRS—A novel optimized deep learning based intrusion detection framework for IoT networks

B Jothi, M Pushpalatha - Personal and Ubiquitous Computing, 2023 - Springer
Abstract Internet of Things (IoT) and its applications have gained importance in recent times
of research. The heterogeneous nature of IoT networks makes them applicable for various …

[PDF][PDF] Attack and anomaly detection in IoT networks using supervised machine learning approaches.

H Tyagi, R Kumar - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …

An intrusion detection and classification system for IoT traffic with improved data engineering

AA Alsulami, Q Abu Al-Haija, A Tayeb, A Alqahtani - Applied Sciences, 2022 - mdpi.com
Nowadays, the Internet of Things (IoT) devices and applications have rapidly expanded
worldwide due to their benefits in improving the business environment, industrial …

A hybrid deep learning model with self-improved optimization algorithm for detection of security attacks in IoT environment

A Sagu, NS Gill, P Gulia, JM Chatterjee, I Priyadarshini - Future Internet, 2022 - mdpi.com
With the growth of the Internet of Things (IoT), security attacks are also rising gradually.
Numerous centralized mechanisms have been introduced in the recent past for the detection …

[PDF][PDF] Deep learning approaches for intrusion detection in IIoT networks–opportunities and future directions

T Vaiyapuri, Z Sbai, H Alaskar… - … Journal of Advanced …, 2021 - pdfs.semanticscholar.org
In recent years, the Industrial Internet of things (IIoT) is a fastest advancing innovative
technology with a potential to digitize and interconnect many industries for huge business …

EIDM: Deep learning model for IoT intrusion detection systems

O Elnakib, E Shaaban, M Mahmoud… - The Journal of …, 2023 - Springer
Abstract Internet of Things (IoT) is a disruptive technology for the future decades. Due to its
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …